code: def entities_from_conll2003(
      train_filepath,
      val_filepath=None,
      use_char=False,
      encoding=None,
      val_pct=0.1,
      verbose=1,
  ):
      """
      Loads sequence-labeled data from a file in CoNLL2003 format.
      """
      return entities_from_txt(
          train_filepath=train_filepath,
          val_filepath=val_filepath,
          use_char=use_char,
          data_format="conll2003",
          encoding=encoding,
          val_pct=val_pct,
          verbose=verbose,
      )
  
file_path: ktrain/ktrain/text/ner/data.py
imports: from ...None import utils
  from ...imports import *
  from ..None import textutils
  from .None import preprocessor
  from .preprocessor import NERPreprocessor
label_desc: Use image node_id 2 for calling a global function with example usage: entities_from_conll2003(train_filepath, val_filepath, use_char, encoding, val_pct, verbose) and returns: entities_from_txt